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Structured video-grounded semantics can boost synthetic IMU generation, leading to a 19.86% improvement in tail-class recognition over traditional methods.
Forget fixed classes: wearable activity recognition leaps forward by aligning sensor data with free-form natural language narratives, unlocking robust understanding of real-world, open-ended human behavior.